Class

org.apache.spark.ml.util

MLWriter

Related Doc: package util

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abstract class MLWriter extends BaseReadWrite with Logging

Abstract class for utility classes that can save ML instances.

Annotations
@Since( "1.6.0" )
Source
ReadWrite.scala
Linear Supertypes
Logging, BaseReadWrite, AnyRef, Any
Known Subclasses
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Inherited
  1. MLWriter
  2. Logging
  3. BaseReadWrite
  4. AnyRef
  5. Any
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Visibility
  1. Public
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Instance Constructors

  1. new MLWriter()

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Abstract Value Members

  1. abstract def saveImpl(path: String): Unit

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    save() handles overwriting and then calls this method.

    save() handles overwriting and then calls this method. Subclasses should override this method to implement the actual saving of the instance.

    Attributes
    protected
    Annotations
    @Since( "1.6.0" )

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  10. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  11. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean = false): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  12. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  14. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  15. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  16. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  17. def logDebug(msg: ⇒ String): Unit

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    protected
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    Logging
  18. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  19. def logError(msg: ⇒ String): Unit

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    protected
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    Logging
  20. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  21. def logInfo(msg: ⇒ String): Unit

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    protected
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    Logging
  22. def logName: String

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    protected
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    Logging
  23. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  24. def logTrace(msg: ⇒ String): Unit

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    protected
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    Logging
  25. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
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    Logging
  26. def logWarning(msg: ⇒ String): Unit

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    protected
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    Logging
  27. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  28. final def notify(): Unit

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    Definition Classes
    AnyRef
  29. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  30. def option(key: String, value: String): MLWriter.this.type

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    Adds an option to the underlying MLWriter.

    Adds an option to the underlying MLWriter. See the documentation for the specific model's writer for possible options. The option name (key) is case-insensitive.

    Annotations
    @Since( "2.3.0" )
  31. val optionMap: Map[String, String]

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    Map to store extra options for this writer.

    Map to store extra options for this writer.

    Attributes
    protected
  32. def overwrite(): MLWriter.this.type

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    Overwrites if the output path already exists.

    Overwrites if the output path already exists.

    Annotations
    @Since( "1.6.0" )
  33. def save(path: String): Unit

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    Saves the ML instances to the input path.

    Saves the ML instances to the input path.

    Annotations
    @Since( "1.6.0" ) @throws( ... )
  34. final def sc: SparkContext

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    Returns the underlying SparkContext.

    Returns the underlying SparkContext.

    Attributes
    protected
    Definition Classes
    BaseReadWrite
  35. def session(sparkSession: SparkSession): MLWriter.this.type

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    Sets the Spark Session to use for saving/loading.

    Sets the Spark Session to use for saving/loading.

    Definition Classes
    MLWriter → BaseReadWrite
  36. var shouldOverwrite: Boolean

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    Attributes
    protected
  37. final def sparkSession: SparkSession

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    Returns the user-specified Spark Session or the default.

    Returns the user-specified Spark Session or the default.

    Attributes
    protected
    Definition Classes
    BaseReadWrite
  38. final def sqlContext: SQLContext

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    Returns the user-specified SQL context or the default.

    Returns the user-specified SQL context or the default.

    Attributes
    protected
    Definition Classes
    BaseReadWrite
  39. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  40. def toString(): String

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    Definition Classes
    AnyRef → Any
  41. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
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    @throws( ... )
  43. final def wait(arg0: Long): Unit

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    Definition Classes
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    @throws( ... )

Deprecated Value Members

  1. def context(sqlContext: SQLContext): MLWriter.this.type

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    Sets the Spark SQLContext to use for saving/loading.

    Sets the Spark SQLContext to use for saving/loading.

    Definition Classes
    MLWriter → BaseReadWrite
    Deprecated

    Use session instead. This method will be removed in 3.0.0.

Inherited from Logging

Inherited from BaseReadWrite

Inherited from AnyRef

Inherited from Any

Members